Designing Long-Term Memory Architectures for Autonomous AI Agents
Introduction: The Context Window BottleneckLarge Language Models (LLMs) operate fundamentally as stateless processing engines. While expanding context windows—such as 128k or 1M ...
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Agentic Workflows
Multi-step LLM execution systems, auto-debug code, CrewAI logs, and LangChain handlers.
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Vector search embeddings, pgvector query setups, Pinecone indexing, and memory injection.
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REST endpoints, structured JSON Pydantic returns, and interactive JavaScript interfaces.
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Model evaluation metrics, drift, prompt injection security walls, and auto-patch pipelines.
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Designing AI-First SaaS User Interfaces
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LLM Evaluation Metrics: BLEU, ROUGE, and LLM-as-a-Judge
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Hi, I'm Vikas.
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I have 15+ years of software-engineering experience and over 9 years at BAMKO. I write about AI agent workflows, RAG knowledge platforms, full-stack architectures, and bridging enterprise backend systems with cognitive models.
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